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Identity Verification Nigeria | NIN, BVN & KYC API - AuthentifyNG — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Information And Network Security →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
atrustos.cloud ↗	71 match 1 shared topics	Atrustos \| Identity & Persona Verification	en	information-and-network-security	robotsllmsaihumans	emailphone	none
gaterpc.com ↗	71 match 1 shared topics	Identity Verification – TrustVerifyID · TrustVerifyID	en	information-and-network-security	robotsllmsaihumans	emailphone	none
vornid.com ↗	71 match 1 shared topics	VornID: Enterprise identity verification	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
asteriakyc.com ↗	70 match 1 shared topics	ASTERIA KYC \| Compliance-First Identity Verification Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
intellimintcoa.com ↗	70 match 1 shared topics	Intellimint \| Certificate of Authenticity Verification	en	information-and-network-security	robotsllmsaihumans	emailphone	none
pushprove.com ↗	69 match 1 shared topics	PushProve - Real-Time Mutual Identity Verification \| Zero Biometric Storage	en	information-and-network-security	robotsllmsaihumans	emailphone	none
q-presence.com ↗	69 match 1 shared topics	Q-Presence — Biometric Proof-of-Presence & Identity Verification Layer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mypass.cloud ↗	69 match 1 shared topics	MyPass — Secure Password & Identity Verification for African Enterprises	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1auth.cloud ↗	69 match 1 shared topics	1auth - Managed Authentication	en	information-and-network-security	robotsllmsaihumans	emailphone	none
prove.com ↗	69 match 1 shared topics	Prove - Most accurate digital identity verification platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
caverify.com ↗	68 match 1 shared topics	CAVerify - Secure ID Verification for AB1263 Compliance	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
proximia.com ↗	68 match 1 shared topics	Proximia \| Passwordless & Zero Trust Authentication	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
proxynumsms.com ↗	68 match 1 shared topics	ProxyNum - Virtual Numbers for Verification	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
2faliveauthenticator.com ↗	68 match 1 shared topics	2FA Live Authenticator - Secure Two-Factor Authentication	en	information-and-network-security	robotsllmsaihumans	emailphone	none
provedidentity.com ↗	67 match 1 shared topics	Proved Identity — KYC with just your email	en	information-and-network-security	robotsllmsaihumans	emailphone	none
100percentauth.com ↗	67 match 1 shared topics	100% Authentic - Autograph Authentication & QR Database	en	information-and-network-security	robotsllmsaihumans	email phone	none
netlock.com ↗	67 match 1 shared topics	Netlock \| KYC, Digital Signature & Media Authentication	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
protectimus.com ↗	67 match 1 shared topics	Two-Factor Authentication Provider - Protectimus Limited	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.